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Snowflake&body=${pageURL}`;\r\nwindow.open(shareURL);\r\n}\r\n\r\n\r\n\r\n\r\n\r\n});","isGSAPEnabled":false,":type":"snowflake-site/components/markup-editor"}},":itemsOrder":["markup_editor"]}},":itemsOrder":["container_949147658"]},"cq:LiveSyncConfig":{"cq:isDeep":true,"cq:rolloutConfigs":[],"cq:master":"/content/experience-fragments/snowflake-site/language-masters/ja/site/share-icons/share-icons",":type":"cq:LiveCopy"}},":itemsOrder":["root","cq:LiveSyncConfig"],"classNames":"aem-xf","appliedCssClassNames":"snowflake-responsive-component-top-padding-extra-small"}},":itemsOrder":["text","experiencefragment"]},"flexible_column_content_container_2":{"layout":"SIMPLE","id":"fundamentals-main-content",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-large",":items":{"container":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"title_v2":"aem-GridColumn aem-GridColumn--default--12","text":"aem-GridColumn aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"overview",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small",":items":{"title_v2":{"id":"title-v2-28a6f1df73","type":"heading2","lines":["概要"],":type":"snowflake-site/components/title-v2"},"text":{"id":"text-4ef26c7df1","text":"\u003Cp\u003E顧客セグメンテーションは、効果的なモダン\u003Ca href=\"https://www.snowflake.com/ja/solutions/departments/marketing/\"\u003Eマーケティング\u003C/a\u003E戦略を効果的に進めるための重要な要素です。この戦略は、組織が顧客行動のパターンをより深く理解することによってマーケティング活動のターゲティングを改善できるように設計されています。顧客セグメンテーションにより、企業は顧客ごとに個別のマーケティング計画を作成することなく、マーケティング活動をより簡単にパーソナライゼーションできるようになります。これにより、最終的に関係者すべてにとっての体験が向上するとともに、ビジネスの全体的なROIも改善します。\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"}},":itemsOrder":["title_v2","text"]},"container_copy":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"title_v2":"aem-GridColumn aem-GridColumn--default--12","text":"aem-GridColumn aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"what",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small",":items":{"title_v2":{"id":"title-v2-20ab86a4c1","additionalClasses":"headline-decoration","type":"heading2","lines":["顧客セグメンテーションとは"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"snowflake-responsive-component-top-padding-none"},"text":{"id":"text-707ff0d6c5","additionalClasses":"list--blue-bullets","text":"\u003Cp\u003E顧客セグメンテーションは、その名前が示すように、ビジネスにとって意味のある主要な特性に基づいて、顧客やクライアントを自然な集合にグループ化するプロセスです。顧客セグメンテーションの目的は、顧客グループが何を重視し、どのような行動をとり、どのような共通点を持っているのか、その理解を深めることにあります。\u003C/p\u003E\n\u003Cp\u003E多くの組織（特にB2B）では、こうした顧客セグメントをペルソナといいます。ペルソナは、セグメントの典型的なメンバーとなる1人の典型的な顧客を詳細に定義します。SheilaやJoeなど、特定の名前で呼ばれることもあるこのペルソナには、肩書き、年齢、経験年数、職務責任、動機、ビジネス上の課題、主なスキルなどが含まれる場合があります。マーケティングチームは、各ペルソナに合わせてメッセージを最適化します。 \u003C/p\u003E\n\u003Cp\u003EB2BとB2C（企業から消費者へのビジネス）のどちらにおいても、すべての顧客セグメンテーションの取り組みは、マーケターがマーケティング予算をどこに投入するか、そしてセグメンテーションされた顧客にリーチするための最適な方法についての意思決定を支援します。\u003C/p\u003E\n\u003Cp\u003Eたとえば、自動車ディーラーは、性別、年齢、収入、家族規模に基づいて顧客（および潜在顧客）をセグメント化します。これは、3人の子供を持つ45歳の親と、21歳の大学生とでは車両のニーズが異なる可能性が高いためです。各グループの具体的な特徴は、ディーラーが広告する場所、広告の種類、宣伝する車両の種類を判断する際に役立ちます。\u003C/p\u003E\n\u003Cp\u003Eビジネスの種類にかかわらず、顧客セグメンテーションはモダンで\u003Ca href=\"https://www.snowflake.com/ja/fundamentals/customer-data-platform/\"\u003Eデータドリブンなマーケティング\u003C/a\u003E活動の強力な構成要素となっています。\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"}},":itemsOrder":["title_v2","text"]},"container_copy_copy_":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"container_copy_copy__987904085":"aem-GridColumn aem-GridColumn--default--12","container_copy_copy__373061683":"aem-GridColumn aem-GridColumn--default--12","container_copy_copy__1444615495":"aem-GridColumn aem-GridColumn--default--12","container_copy_copy__1985496925":"aem-GridColumn aem-GridColumn--default--12","container_copy_copy_":"aem-GridColumn aem-GridColumn--default--12","container_copy_copy":"aem-GridColumn aem-GridColumn--default--12","container_copy_copy_259718203":"aem-GridColumn aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"rel",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small",":items":{"container_copy_copy":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"title_v2":"aem-GridColumn aem-GridColumn--default--12","text":"aem-GridColumn aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"a",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small",":items":{"title_v2":{"id":"title-v2-f12d1db5bf","additionalClasses":"headline-decoration","type":"heading2","lines":["顧客セグメンテーションの理由"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"snowflake-responsive-component-top-padding-none"},"text":{"id":"text-921fd48d4a","additionalClasses":"list--blue-bullets","text":"\u003Cp\u003E顧客セグメンテーションは、マーケティングにおいて、ターゲットを絞らない大雑把な手法と比べてビジネスにメリットをもたらし、パーソナライゼーション（ひいては顧客満足度）の改善、コンバージョン率の向上、顧客ロイヤルティの向上、マーケティングROIの最大化をもたらします。具体的には、顧客セグメンテーションは以下のようなさまざまな点で役立ちます。\u003Cbr\u003E\n \u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003E\u003Cp\u003E顧客セグメンテーションでは、各セグメントが好む方法でコミュニケーションを取り、最も影響の大きいメッセージや手法を選ぶことで、マーケティングメッセージをファインチューニングすることが可能です。たとえば、若年層の顧客はユーモアのあるTikTok動画を好む傾向がある一方で、シニア層の顧客は事実に基づいた印刷物やダイレクトメールを好むといった違いに対応できます。\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003Eセグメンテーションは、一斉配信のアプローチではなく、受信者のプールを狭めてターゲットメッセージを受信できるため、マーケティング費用を節減できます。\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E多くの場合、顧客のセグメンテーションは、顧客からのフィードバックを改善するためのコミュニケーションの機会を提供します。顧客は、より価値を感じ、自分の意見が真剣に受け止められていると感じる可能性があるためです。このようなフィードバックは、新しい商品やサービスの設計や更新方法の改善に役立ちます。\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003Eテスト市場は、顧客基盤がセグメント化され、規模が小さいほど開発が容易です。あるセグメントで成功した商品は、別のセグメントにロールアウトできます。同様に、ターゲットを絞ったアップセルの機会は、一斉に提供した場合よりも、セグメント化されたグループ内で成約に至ることが容易であることが多いです。\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E顧客セグメンテーションは、各顧客グループのニーズに基づいて最も収益性の高い商品をターゲティングできるようにすることで、ビジネスのROIを最大化します。\u003Cbr\u003E\n \u003C/p\u003E\n\u003C/li\u003E\n\u003C/ul\u003E\n\u003Cp\u003E最終的に、顧客セグメンテーションは、\u003Ca href=\"https://www.snowflake.com/en/fundamentals/how-audience-analysis-powers-effective-targeting/\"\u003E顧客を深く理解\u003C/a\u003Eし、そのニーズを把握することに尽きます。逆に、顧客基盤のセグメンテーションに失敗したり、顧客セグメンテーションが不十分であったりすると、リソースの浪費や機会損失につながります。\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05 snowflake-responsive-component-bottom-padding-small"}},":itemsOrder":["title_v2","text"]},"container_copy_copy_":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"title_v2":"aem-GridColumn aem-GridColumn--default--12","text":"aem-GridColumn aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"use",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small",":items":{"title_v2":{"id":"title-v2-6f3dc472f3","additionalClasses":"headline-decoration","type":"heading2","lines":["顧客セグメンテーションの種類"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"snowflake-responsive-component-top-padding-none"},"text":{"id":"text-be8d9c7ac3","text":"\u003Cp\u003E顧客セグメンテーションは、無数の変数と特性を使用して作成できます。しかし、ほとんどの組織は、最も一般的なタイプの顧客セグメンテーションモデルが最も実用的だと感じるでしょう。いくつか例を示します。\u003Cbr\u003E\n \u003C/p\u003E\n\u003Ch4\u003Eデモグラフィックセグメンテーション\u003C/h4\u003E\n\u003Cp\u003E顧客セグメントの最も基本的なタイプの一つは、特に消費者向けビジネスにおけるシンプルなデモグラフィックです。販売する商品やサービスのタイプに応じて、年齢、性別、人種/民族、宗教、婚姻/家族状況、所得水準、および顧客が誰であるかを定義する類似のデータに基づいてセグメントを構築できます。\u003Cbr\u003E\n \u003C/p\u003E\n\u003Ch4\u003E地理的セグメンテーション\u003C/h4\u003E\n\u003Cp\u003E居住地域、勤務先、移動頻度に基づいて顧客をセグメントすることは、非常に一般的であり、多くの場合に非常に有益です。徒歩での移動を前提とする\u003Ca href=\"https://www.snowflake.com/ja/solutions/industries/retail-consumer-goods/\"\u003E小売\u003C/a\u003E店では、物理的な場所の一定半径内に住む顧客にマーケティング活動が最大の影響を与えるため、地理的なセグメンテーションは多くの場合に重要となります。オンライン販売者は、市、郡、州、居住国に基づいて顧客や見込み客をセグメンテーションすることでも、大きな価値を得られます。\u003Cbr\u003E\n \u003C/p\u003E\n\u003Ch4\u003Eサイコグラフィックセグメンテーション\u003C/h4\u003E\n\u003Cp\u003Eサイコグラフィックはデモグラフィックに関連していますが、顧客の価値観、関心、ライフスタイルを掘り下げます。これは、顧客が誰であるかではなく、顧客がどう思っているかを示すものです。政治的信条は、心理描写としても非常によく使われています。この情報は、自然に入手するのが難しくなり、ソーシャルメディアの「いいね」やCookieの追跡などを通じて、フォーカスグループ、アンケート、オンラインアクティビティ分析によって生成される傾向があります。\u003Cbr\u003E\n \u003C/p\u003E\n\u003Ch4\u003E行動セグメンテーション\u003C/h4\u003E\n\u003Cp\u003E顧客が何者で、何を考え、実際にどのように行動しているかを見ていきます。顧客が買い物かごを放棄する可能性はどれくらいか。購入した商品を返品する可能性はどれくらいか。割引を受けるには、どのくらいの距離を移動するか。商品をどのように利用しているか。そして、どの機能を最も利用しているかどうかです。こうした行動の詳細を掘り下げることで、今後の商品開発やマーケティング戦術に役立つ膨大な情報を得られます。\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05 snowflake-responsive-component-bottom-padding-small"}},":itemsOrder":["title_v2","text"]},"container_copy_copy__1444615495":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"title_v2":"aem-GridColumn aem-GridColumn--default--12","text":"aem-GridColumn aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"segment",":type":"snowflake-site/components/container",":items":{"title_v2":{"id":"title-v2-71cb469220","additionalClasses":"headline-decoration","type":"heading2","lines":["効果的な顧客セグメンテーション戦略の策定方法"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"snowflake-responsive-component-top-padding-none"},"text":{"id":"text-a8e4c4856d","text":"\u003Cp\u003E\u003Cbr\u003E\n顧客セグメンテーションを始める準備はできていますか？セグメンテーション計画を成功させるための主なステップをご紹介します。\u003Cbr\u003E\n \u003C/p\u003E\n\u003Ch4\u003E1.関連データの収集\u003C/h4\u003E\n\u003Cp\u003Eセグメンテーションを実施できる程度に顧客を理解するには、まず顧客に関するデータが必要です。ただし、顧客データを収集する方法は1つではなく、収集するデータのタイプによってプロセスが異なります。データの中には、年齢や性別などその場で推定できるものもあります。また、所得や教育レベルなど、より個人的な情報が必要な場合は、顧客に直接調査するか、他の手段で収集したサードパーティデータベースに頼る必要があります。いわゆるソーシャルリスニングの手法は、オンライン上の会話のモニタリングと分析を通じて、公開の問題や自社商品に対する顧客の意見やセンチメントを特定するために使用できます。Yelpのようなサイトでのビジネスレビューは、この種の情報の貴重なリソースとなる可能性があります。データ収集については、後のセクションで詳しく説明します。\u003Cbr\u003E\n \u003C/p\u003E\n\u003Ch4\u003E2.意味のあるセグメントの特定\u003C/h4\u003E\n\u003Cp\u003E顧客データを準備する場合、どのようにセグメンテーションすればよいでしょうか。多くの場合、さまざまな目的のためにさまざまなセグメントが必要になりますが、1人の顧客が複数のセグメントに当てはまる場合があることに注意します。たとえば、男性誌で特定の広告キャンペーンを展開するために、大学卒の男性や40歳以上の男性のみで構成されるデモグラフィックドリブンなセグメントを使用する場合があります。サイコグラフィック分析から抽出した別のセグメントは、オンラインフォーラムで、調査対象のビジネスについて過去に公に苦情を述べた顧客を抽出します。こうした顧客は、商品の改善方法についてのフォーカスグループへの参加を促すようターゲットできる可能性があります。\u003Cbr\u003E\n \u003C/p\u003E\n\u003Ch4\u003E3.マーケティングメッセージのカスタマイズ\u003C/h4\u003E\n\u003Cp\u003E顧客セグメントの最も一般的な用途の一つは、各顧客グループのために特別に設計され、\u003Ca href=\"https://www.snowflake.com/ja/blog/retail-cpg-data-fragmentation-personalization/\"\u003Eパーソナライズされたマーケティング体験\u003C/a\u003Eの作成です。マーケターは、各セグメントに関する情報をすべて取得し、そのデータを使用してグループに直接響くマーケティングプログラムを構築できます。セグメントは、選択したメディアチャネルを介して、パーソナライズされたインタラクションや体験を受け取ることができます。\u003Cbr\u003E\n \u003C/p\u003E\n\u003Ch4\u003E4.経時的なセグメントのテストと改良\u003C/h4\u003E\n\u003Cp\u003Eパーソナライズされたインタラクションは、それだけでは価値がありません。特に、パーソナライズされたメッセージが標準的なマーケティングメッセージよりも優れた結果をもたらすかどうかを判断するためには、効果と影響を追跡する必要があります。各メッセージの送信後すぐに結果を追跡することで、セグメントとメッセージの両方を継続的に改善できます。マーケティングアナリティクスツールは、各キャンペーンのパフォーマンスを追跡し、顧客の態度や行動に関する有用なインサイトを提供するうえで非常に有用です。\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05 snowflake-responsive-component-bottom-padding-small"}},":itemsOrder":["title_v2","text"]},"container_copy_copy_259718203":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"title_v2":"aem-GridColumn aem-GridColumn--default--12","text":"aem-GridColumn aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"how",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small",":items":{"title_v2":{"id":"title-v2-7b54dd270d","additionalClasses":"headline-decoration","type":"heading2","lines":["顧客セグメンテーションのデータ収集方法"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"snowflake-responsive-component-top-padding-none"},"text":{"id":"text-a56322bdea","text":"\u003Cp\u003E顧客データは、何もしなくても手に入るものではありません。意図的かつ計画的な方法で収集する必要があります。顧客データの収集は困難な場合があります。顧客データの収集とストレージは、さまざまな法律や制限によって管理されているだけでなく、その規則は常に変化し、複雑化しています。また、その状況は地域によっても異なります。\u003C/p\u003E\r\n\u003Cp\u003Eここでは、質の高い顧客データを安全に発掘するためにチームが使用できるソースをいくつか紹介します。\u003Cbr\u003E\r\n \u003C/p\u003E\r\n\u003Ch4\u003ECRMシステム\u003C/h4\u003E\r\n\u003Cp\u003E顧客データの最初の目的地は、既存のCRMシステムであるべきです。このCRMシステムは、お客様が過去何年にもわたって自発的に提供してきた豊富な情報を持っているはずです。対面販売を行う営業組織を持つB2B企業は、小売書店などと比較して、CRMデータベース内により有意義かつ詳細なデータを蓄積しているのは明らかです。しかし、業種を問わずあらゆる企業において、顧客セグメント構築の起点として活用できる何らかの顧客レコードを保有している可能性は十分にあります。\u003C/p\u003E\r\n\u003Ch4\u003E\u003Cbr\u003E\r\nトランザクションデータ\u003C/h4\u003E\r\n\u003Cp\u003E誰かが企業から商品を購入するたびに、そのデータを顧客セグメンテーションの取り組みに活用できます。トランザクションデータには、購入の時間と場所、取引金額、購入された特定の商品の組み合わせ、購入に対する顧客の支払い方法、その購入が返品と関連しているかどうかなどが含まれます。これらの情報は、すべて顧客セグメントのファインチューニングに役立ちます。\u003Cbr\u003E\r\n \u003C/p\u003E\r\n\u003Ch4\u003Eウェブサイトアナリティクス\u003C/h4\u003E\r\n\u003Cp\u003E適切に設定されたウェブサイトは、デジタル上で訪問した顧客に関する情報を大量に収集します。このタイプのデータには、場所、閲覧プラットフォーム（デスクトップやモバイルなど）、サイト滞在時間、訪問したページ、訪問が売上に結びついたかどうかなどが含まれます。このデータは、サイトをファインチューニングする際や、サイトの異なるバージョンを異なるタイプの訪問者に提供する際に役立ちます。\u003Cbr\u003E\r\n \u003C/p\u003E\r\n\u003Ch4\u003Eソーシャルメディアのインサイト\u003C/h4\u003E\r\n\u003Cp\u003E顧客は、さまざまなソーシャルメディアチャネルで自分の考えや意見を積極的に提供します。ソーシャルメディアのアナリティクスツールを使用して、ビジネスに対するさまざまな態度を持つ顧客のセグメントを開発することで、こうしたコメントを抽出できます。そのデータを基に、ポジティブ、ネガティブ、ニュートラルな感情を持つ顧客をターゲティングしたマーケティングキャンペーンを展開できます。\u003Cbr\u003E\r\n \u003C/p\u003E\r\n\u003Ch4\u003E顧客アンケートとフィードバックフォーム\u003C/h4\u003E\r\n\u003Cp\u003E当然ながら、デモグラフィックやサイコグラフィックについて顧客に直接質問することは、顧客を理解し、顧客セグメントを構築するための重要な方法です。セグメンテーション戦略では、この情報が時間の経過とともにどのように変化するかも重要です。\u003Cbr\u003E\r\n \u003C/p\u003E\r\n\u003Ch4\u003Eサードパーティデータプロバイダー\u003C/h4\u003E\r\n\u003Cp\u003E顧客情報を直接収集できない場合は、サードパーティから購入する方法もあります。ただし、この種のデータは、プライバシー規則が多いため、ユーザーが自分で収集したデータよりも多くの制限を受けます。また、このデータは\u003Ca href=\"https://www.snowflake.com/ja/product/features/data-clean-rooms/\"\u003E部分的に匿名化\u003C/a\u003Eされるため、ファーストパーティデータよりも明確度と詳細度が低くすることができます。\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05 snowflake-responsive-component-bottom-padding-small"}},":itemsOrder":["title_v2","text"]},"container_copy_copy__987904085":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"text_copy_1241045613":"aem-GridColumn aem-GridColumn--default--12","title_v2":"aem-GridColumn aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"customer",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small",":items":{"title_v2":{"id":"title-v2-c4e98be9fe","additionalClasses":"headline-decoration","type":"heading2","lines":["顧客セグメンテーションに関するよくある質問"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"snowflake-responsive-component-top-padding-none"},"text_copy_1241045613":{"id":"text-e96d48a296","text":"\u003Cp\u003E以下に、顧客セグメンテーションに関してよく寄せられるその他の質問を示します。\u003Cbr\u003E\n \u003C/p\u003E\n\u003Ch4\u003E顧客セグメンテーション戦略と市場セグメンテーションの違いは何ですか？\u003C/h4\u003E\n\u003Cp\u003E密接に関連していますが、顧客セグメンテーションと市場セグメンテーションは別々の領域です。顧客セグメンテーションは、個人（実際の顧客）を論理的なグループに分類するように設計されています。一方、市場セグメンテーションは、その企業のすべての潜在顧客を広く把握します。次に、市場セグメンテーションは、広範な市場をサブグループに分類し、企業がその特性を大まかに理解できるようにします。簡単に言うと、市場セグメンテーションは潜在的な顧客を特定するのに役立ちます。一方、顧客セグメンテーションは既存の顧客により適切にリーチできるようにします。\u003Cbr\u003E\n \u003C/p\u003E\n\u003Ch4\u003E顧客セグメンテーションには、どのような例がありますか？\u003C/h4\u003E\n\u003Cp\u003Eたとえば、宝石店です。この店舗では、性別によって特定の前提で顧客をセグメンテーションできます。その前提とは、男性は大切な人へのプレゼントを店舗で購入する可能性が高いが、女性は自分のために買い物をする可能性が高いということです。その店舗は、男性で構成されるセグメントに高価なアニバーサリーリングをプロモーションすると同時に、よりカジュアルなジュエリーを提供する女性セグメントをターゲットとすることもできます。\u003Cbr\u003E\n \u003C/p\u003E\n\u003Ch4\u003E主要な顧客セグメントをどのように特定していますか？\u003C/h4\u003E\n\u003Cp\u003E顧客はさまざまな方法でセグメント化できますが、そのセグメントのうち、意味のあるものを見極めることはより大きな問題です。意味のある顧客セグメントを特定するには、ある程度の試行錯誤が必要です。企業はセグメントを作成したら、それぞれに共感を得られるマーケティング戦略を作成する必要があります。キャンペーンの実施後、企業はメトリクス（回答率や売上など）を収集し、ベースラインと比較する必要があります。そのセグメントの結果が根本的に異なる場合は、意味のあるセグメントである可能性が高くなります。時間の経過とともに、ビジネスにとって最も意味のあるセグメント、つまり最も影響力のあるメトリクスを持つセグメントの全体像が明らかになります。\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05 snowflake-responsive-component-bottom-padding-small"}},":itemsOrder":["title_v2","text_copy_1241045613"]},"container_copy_copy__1985496925":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"flexible_column_cont":"aem-GridColumn aem-GridColumn--default--12","title_v2":"aem-GridColumn 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